Name |
# |
Type |
Description |
Largest mitochondrion size (width in pixels) |
1 |
real |
Give an approximate width of the largest mitochondria. This value controls the high pass filter to suppress larger than mitochondrial details. It does not act as a classifier for mitochondria, so slightly larger objects will also appear in the image. Decrease this value if smaller mitochondria are lost during segmentation. Increase this value if noise passes through from background. |
Sensitivity (top range scaling, percentile) |
2 |
real |
A percentile value, typically between 95-99.99 percentile. Decrease this value to increase sensitivity, if dimmer mitochondria are lost during analysis, or if bright debris is present in the image. Increase this value if noise passes through from background. |
Minimum size (area, pixels) |
3 |
integer |
Minimum size of mitochondria to detect. This is an object classifier, smaller objects than the specified size will be removed. Decrease this value if smaller mitochondria are lost during the analysis. Increase this value if noise passes through from background. |
Place positions into columns |
4 |
boolean |
This parameter affects how the data is printed into the spreadsheet. When multi stage position recordings are analyzed, time courses from consecutive positions will appear next to each other if yes, rather than appending results below the data corresponding the previous position. |